Knowing the status of your hotspots in real-time is of great value to maintaining good user experience. On top of this, knowing how your hotspots are performing over time will give you an invaluable troubleshooting tool and an ability to monitor your infrastructure.

OptiWi-fi provides real-time and historical ranking of your Hotspots using our unique performance metric; the Wi-Fi score. The Wi-Fi score is a fast and accurate way for network managers to assess the overall performance of the Wi-Fi, without having to drill-down into a large number of individual metrics.

Scoring data allows you to quickly identify any downtime or degradation of the customer experience. When more detail is needed the Hotspot Ranking provides a breakdown of the scoring components to quickly identify the source of the issue.

With Hotspot Ranking your team can focus on problematic locations ensuring a consistent user experience across sites.

​Mobile Offload from cellular to Wi-Fi only delivers benefits if you are sure of the quality users will get when offloaded to Wi-Fi.
OptiWi-fi provides an automatic Data Offload Indicator available through APIs:

The indicator ensures that the Wi-Fi connection is of a suitable grade to allow a successful customer handover from cellular to Wi-Fi

If the Wi-Fi connection is not expected to be of sufficient quality, the indicator recommends the device remains on cellular, preventing an issue before it happens

Get analytics on competing Hotspots to understand how your network performs compared to other service providers

Visualize changing patterns of service quality and network usage in real-time

Get insights into how clients are associating to your network compared to other hotspots

Analyze client behavior to generate valuable insights for your business

Visualize location information and traffic patterns

OptiWi-fi generates Marketing Intelligence you can act upon by analyzing Wi-Fi traffic

Our solution analyzes the variation of traffic in your retail locations helping identify busy periods to allocate staff in an optimal way

Data can be compared across a network of retail locations, analyzing variations between stores based on geography or your own segmentation